Augmenting Icp Using Dense Object

Augmenting ICP Using Dense Object Nets: Applications in Surgical Robot Perception

Augmenting ICP Using Dense Object

Supervised Training of Dense Object Nets for Industrial Robotic Applications

Supervised Training of

Fast 3D Reconstruction of Large Objects with ICP-based Extrinsic Calibration

This paper presents a novel method for fast, scaled, and accurate reconstruction of large

Fully Self-Supervised Class Awareness in Dense Object Descriptors

Title: "Fully Self-Supervised Class Awareness in

(Talk) Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation

Oral Presentation at Conference on Robot Learning, 2018.

Toward Category-Level Manipulation, Russ Tedrake

Robotics: Science and Systems Workshop Visual Learning and Reasoning for Robotic Manipulation Visual perception is...

Learning Collaborative Push and Grasp Policies in Dense Clutter, ICRA 2021.

Robots must reason about pushing and grasping in order to engage in flexible manipulation in cluttered environments....

ICRA 2023: Learning Sim-to-Real Dense Object Descriptors for Robotic Manipulation

Learning Sim-to-Real

Real-world EXPs: Learning Foresightful Dense Visual Affordance for Deformable Object Manipulation

Real-world experiments: Learning Foresightful

Robotic Manipulation for Attaining Scooping Motion in Food Serving

In this project we came up

Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation

Source code: https://github.com/RobotLocomotion/pytorch-

Learning an object's rolling affordance

Only certain

RAG for Vision Language-based robotic manipulation

This project introduces a new framework for robot training